This skill provides a comprehensive framework for developing production-grade MCP servers in both Python (FastMCP) and Node/TypeScript. It guides developers through a structured four-phase workflow—Deep Research, Implementation, Review, and Evaluation—emphasizing agent-centric design principles. By focusing on workflow-based tools rather than simple API wrappers, it ensures that AI agents can efficiently interact with external services through well-defined schemas, actionable error messages, and robust evaluation scenarios that optimize for context window constraints.
주요 기능
01Supports both Python (FastMCP) and Node/TypeScript SDK implementations
02Guided workflow from deep API research to evaluation-driven development
03Built-in best practices for error handling, pagination, and token management
041,395 GitHub stars
05Implements agent-centric design principles for optimized tool performance
06Standardized input validation using Pydantic (Python) and Zod (TypeScript)
사용 사례
01Creating standardized toolsets for LLMs to perform complex database operations
02Building custom MCP servers to connect private enterprise APIs to Claude
03Developing robust, production-ready integrations with external SaaS platforms